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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 09 Mar 2009 02:04:25 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/09/t1236585904mdhq6gwahp16w4h.htm/, Retrieved Mon, 29 Apr 2024 04:18:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38726, Retrieved Mon, 29 Apr 2024 04:18:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2009-03-09 08:04:25] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
49.32
58.53
49.09
24.68
16.71
19.86
38.23
36.11
19.59
14.91
15.74
15.40
13.06
19.07
15.28
15.82
12.77
12.05
11.69
13.85
13.85
10.07
9.17
10.79
13.44
21.17
18.64
13.21
15.54
21.94
23.11
18.64
14.94
16.90
15.46
11.15
13.13
12.48
12.95
12.59
10.58
10.58
12.39
15.53
13.06
10.22
16.33
19.72
21.31
18.84
24.84
15.67
15.57
12.73
13.56
15.54
17.22
12.14
11.07
12.02
11.55
6.92
10.33
8.38
12.11
11.46
12.75
13.32
13.00
11.90
11.79
12.55
11.84
11.25
11.15
10.99
11.70
14.01
17.51
17.27
16.90
15.79
15.45
16.24
16.71
16.77
16.64
17.80
16.87
16.13
15.76
15.66
15.54
15.30
15.05
14.69
14.39
14.18
13.70
13.66
13.27
13.56
13.14
14.19
22.57
23.09
23.31
22.91
22.36
43.06
64.67
64.68
56.90
48.79
45.21
41.40
22.17
25.52
20.28
22.87
27.63
22.95
21.35
18.38
17.15
18.27
19.40
20.52

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38726&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38726&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38726&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.873055879617731.14437796833289
0.028.96440242964380.895961115385282
0.039.699739205440960.652869836822156
0.0410.14955924547750.4568500973125
0.0510.43652750577130.363190376052951
0.0610.64473876585660.333458742508187
0.0710.81716231500150.322086518913362
0.0810.97057428299230.313859791147408
0.0911.11133530770930.309495465020791
0.111.24310364234290.309897840286129
0.1111.36840921671840.311767555447703
0.1211.48846118719630.311144650924004
0.1311.60349144428450.307607048093287
0.1411.71369054343500.304085404196836
0.1511.81993057840800.304359481515427
0.1611.92379085301990.310343467050951
0.1712.02702282620520.321160026892191
0.1812.13089537165490.3338099988814
0.1912.23578706255810.344773456675879
0.212.34115714598070.3512649928772
0.2112.44582500512490.351961618205914
0.2212.54839263354640.347113282777041
0.2312.64764723702790.33817800279622
0.2412.74284148102960.327307319067274
0.2512.83382227192640.316693350393972
0.2612.92103137240160.308545766074516
0.2713.00542075164650.304599424297958
0.2813.08832187033660.306184837039691
0.2913.17129829948620.314032337966607
0.313.25600491732830.328308239586822
0.3113.34407223919970.348689745843649
0.3213.43702437700470.374683401581033
0.3313.53622224065420.405711756666485
0.3413.64280729784980.44091594787555
0.3513.75761669398600.479032310566314
0.3613.88105417610860.518021202361472
0.3714.01292929615380.555046165573816
0.3814.15230721086170.586557312842795
0.3914.29742824148950.608859316628474
0.414.44575075101290.618767451600988
0.4114.59414322599220.614165131582464
0.4214.73921145899010.594664773358224
0.4314.87770884402140.561705775181896
0.4415.00695485879600.518492297736343
0.4515.12518513109870.469421301436558
0.4615.23177424657920.419672950111064
0.4715.32730159051640.374409600986742
0.4815.41346083633960.338321027419909
0.4915.49283713399420.315064394935706
0.515.56858932133720.30672844748319
0.5115.644079275560.313565424096345
0.5215.72249147671200.333649342833573
0.5315.80648725384810.363593424870418
0.5415.89794088146920.399150151498384
0.5515.99780485068310.435883666728696
0.5616.10614229403620.470044362729181
0.5716.22233978277470.499259339980527
0.5816.34547361225050.523029594402619
0.5916.47475618104620.543000111182002
0.616.60995248243680.562651790895477
0.6116.75164774756220.586171510727375
0.6216.90127667416030.617466360944966
0.6317.06088965222790.658488616233014
0.6417.23271405926540.708635020652269
0.6517.41864092552220.764862122381134
0.6617.61980072621720.822528619465782
0.6717.83636973835190.877139837307695
0.6818.06767310590940.925358766698964
0.6918.31254635703910.966030964892881
0.718.56982090628451.00047353589522
0.7118.83874755177321.03143626795687
0.7219.11918604955061.06201753087797
0.7319.41146534538321.09391535542777
0.7419.71593235307361.12647118394010
0.7520.03231983610191.15607649935283
0.7620.35914165331661.17722148385799
0.7720.69334910866631.18364896824611
0.7821.03046294829921.17048132967396
0.7921.36536072531481.13648783158158
0.821.69388324425751.08623254790166
0.8122.01544330719741.03293786755204
0.8222.33685277336701.00240244850519
0.8322.67754363908411.03833015889637
0.8423.07604203350421.20582732468001
0.8523.59658949275951.58283051479979
0.8624.33282182730012.23970065976736
0.8725.40276990261633.21022970597639
0.8826.92835750086404.44840972631921
0.8928.99706290217195.78713824616702
0.931.61572467877756.94538211012944
0.9134.68101820948127.61862913456346
0.9237.99429345944467.62645658785765
0.9341.33185347214627.02768990593125
0.9444.55484126004036.13212794466524
0.9547.715682432325.42248298324266
0.9651.08071813931995.31148923581699
0.9754.96329962680725.5890801868061
0.9859.29720336250695.36157468791198
0.9963.05737788697423.33630203093515

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.87305587961773 & 1.14437796833289 \tabularnewline
0.02 & 8.9644024296438 & 0.895961115385282 \tabularnewline
0.03 & 9.69973920544096 & 0.652869836822156 \tabularnewline
0.04 & 10.1495592454775 & 0.4568500973125 \tabularnewline
0.05 & 10.4365275057713 & 0.363190376052951 \tabularnewline
0.06 & 10.6447387658566 & 0.333458742508187 \tabularnewline
0.07 & 10.8171623150015 & 0.322086518913362 \tabularnewline
0.08 & 10.9705742829923 & 0.313859791147408 \tabularnewline
0.09 & 11.1113353077093 & 0.309495465020791 \tabularnewline
0.1 & 11.2431036423429 & 0.309897840286129 \tabularnewline
0.11 & 11.3684092167184 & 0.311767555447703 \tabularnewline
0.12 & 11.4884611871963 & 0.311144650924004 \tabularnewline
0.13 & 11.6034914442845 & 0.307607048093287 \tabularnewline
0.14 & 11.7136905434350 & 0.304085404196836 \tabularnewline
0.15 & 11.8199305784080 & 0.304359481515427 \tabularnewline
0.16 & 11.9237908530199 & 0.310343467050951 \tabularnewline
0.17 & 12.0270228262052 & 0.321160026892191 \tabularnewline
0.18 & 12.1308953716549 & 0.3338099988814 \tabularnewline
0.19 & 12.2357870625581 & 0.344773456675879 \tabularnewline
0.2 & 12.3411571459807 & 0.3512649928772 \tabularnewline
0.21 & 12.4458250051249 & 0.351961618205914 \tabularnewline
0.22 & 12.5483926335464 & 0.347113282777041 \tabularnewline
0.23 & 12.6476472370279 & 0.33817800279622 \tabularnewline
0.24 & 12.7428414810296 & 0.327307319067274 \tabularnewline
0.25 & 12.8338222719264 & 0.316693350393972 \tabularnewline
0.26 & 12.9210313724016 & 0.308545766074516 \tabularnewline
0.27 & 13.0054207516465 & 0.304599424297958 \tabularnewline
0.28 & 13.0883218703366 & 0.306184837039691 \tabularnewline
0.29 & 13.1712982994862 & 0.314032337966607 \tabularnewline
0.3 & 13.2560049173283 & 0.328308239586822 \tabularnewline
0.31 & 13.3440722391997 & 0.348689745843649 \tabularnewline
0.32 & 13.4370243770047 & 0.374683401581033 \tabularnewline
0.33 & 13.5362222406542 & 0.405711756666485 \tabularnewline
0.34 & 13.6428072978498 & 0.44091594787555 \tabularnewline
0.35 & 13.7576166939860 & 0.479032310566314 \tabularnewline
0.36 & 13.8810541761086 & 0.518021202361472 \tabularnewline
0.37 & 14.0129292961538 & 0.555046165573816 \tabularnewline
0.38 & 14.1523072108617 & 0.586557312842795 \tabularnewline
0.39 & 14.2974282414895 & 0.608859316628474 \tabularnewline
0.4 & 14.4457507510129 & 0.618767451600988 \tabularnewline
0.41 & 14.5941432259922 & 0.614165131582464 \tabularnewline
0.42 & 14.7392114589901 & 0.594664773358224 \tabularnewline
0.43 & 14.8777088440214 & 0.561705775181896 \tabularnewline
0.44 & 15.0069548587960 & 0.518492297736343 \tabularnewline
0.45 & 15.1251851310987 & 0.469421301436558 \tabularnewline
0.46 & 15.2317742465792 & 0.419672950111064 \tabularnewline
0.47 & 15.3273015905164 & 0.374409600986742 \tabularnewline
0.48 & 15.4134608363396 & 0.338321027419909 \tabularnewline
0.49 & 15.4928371339942 & 0.315064394935706 \tabularnewline
0.5 & 15.5685893213372 & 0.30672844748319 \tabularnewline
0.51 & 15.64407927556 & 0.313565424096345 \tabularnewline
0.52 & 15.7224914767120 & 0.333649342833573 \tabularnewline
0.53 & 15.8064872538481 & 0.363593424870418 \tabularnewline
0.54 & 15.8979408814692 & 0.399150151498384 \tabularnewline
0.55 & 15.9978048506831 & 0.435883666728696 \tabularnewline
0.56 & 16.1061422940362 & 0.470044362729181 \tabularnewline
0.57 & 16.2223397827747 & 0.499259339980527 \tabularnewline
0.58 & 16.3454736122505 & 0.523029594402619 \tabularnewline
0.59 & 16.4747561810462 & 0.543000111182002 \tabularnewline
0.6 & 16.6099524824368 & 0.562651790895477 \tabularnewline
0.61 & 16.7516477475622 & 0.586171510727375 \tabularnewline
0.62 & 16.9012766741603 & 0.617466360944966 \tabularnewline
0.63 & 17.0608896522279 & 0.658488616233014 \tabularnewline
0.64 & 17.2327140592654 & 0.708635020652269 \tabularnewline
0.65 & 17.4186409255222 & 0.764862122381134 \tabularnewline
0.66 & 17.6198007262172 & 0.822528619465782 \tabularnewline
0.67 & 17.8363697383519 & 0.877139837307695 \tabularnewline
0.68 & 18.0676731059094 & 0.925358766698964 \tabularnewline
0.69 & 18.3125463570391 & 0.966030964892881 \tabularnewline
0.7 & 18.5698209062845 & 1.00047353589522 \tabularnewline
0.71 & 18.8387475517732 & 1.03143626795687 \tabularnewline
0.72 & 19.1191860495506 & 1.06201753087797 \tabularnewline
0.73 & 19.4114653453832 & 1.09391535542777 \tabularnewline
0.74 & 19.7159323530736 & 1.12647118394010 \tabularnewline
0.75 & 20.0323198361019 & 1.15607649935283 \tabularnewline
0.76 & 20.3591416533166 & 1.17722148385799 \tabularnewline
0.77 & 20.6933491086663 & 1.18364896824611 \tabularnewline
0.78 & 21.0304629482992 & 1.17048132967396 \tabularnewline
0.79 & 21.3653607253148 & 1.13648783158158 \tabularnewline
0.8 & 21.6938832442575 & 1.08623254790166 \tabularnewline
0.81 & 22.0154433071974 & 1.03293786755204 \tabularnewline
0.82 & 22.3368527733670 & 1.00240244850519 \tabularnewline
0.83 & 22.6775436390841 & 1.03833015889637 \tabularnewline
0.84 & 23.0760420335042 & 1.20582732468001 \tabularnewline
0.85 & 23.5965894927595 & 1.58283051479979 \tabularnewline
0.86 & 24.3328218273001 & 2.23970065976736 \tabularnewline
0.87 & 25.4027699026163 & 3.21022970597639 \tabularnewline
0.88 & 26.9283575008640 & 4.44840972631921 \tabularnewline
0.89 & 28.9970629021719 & 5.78713824616702 \tabularnewline
0.9 & 31.6157246787775 & 6.94538211012944 \tabularnewline
0.91 & 34.6810182094812 & 7.61862913456346 \tabularnewline
0.92 & 37.9942934594446 & 7.62645658785765 \tabularnewline
0.93 & 41.3318534721462 & 7.02768990593125 \tabularnewline
0.94 & 44.5548412600403 & 6.13212794466524 \tabularnewline
0.95 & 47.71568243232 & 5.42248298324266 \tabularnewline
0.96 & 51.0807181393199 & 5.31148923581699 \tabularnewline
0.97 & 54.9632996268072 & 5.5890801868061 \tabularnewline
0.98 & 59.2972033625069 & 5.36157468791198 \tabularnewline
0.99 & 63.0573778869742 & 3.33630203093515 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38726&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]7.87305587961773[/C][C]1.14437796833289[/C][/ROW]
[ROW][C]0.02[/C][C]8.9644024296438[/C][C]0.895961115385282[/C][/ROW]
[ROW][C]0.03[/C][C]9.69973920544096[/C][C]0.652869836822156[/C][/ROW]
[ROW][C]0.04[/C][C]10.1495592454775[/C][C]0.4568500973125[/C][/ROW]
[ROW][C]0.05[/C][C]10.4365275057713[/C][C]0.363190376052951[/C][/ROW]
[ROW][C]0.06[/C][C]10.6447387658566[/C][C]0.333458742508187[/C][/ROW]
[ROW][C]0.07[/C][C]10.8171623150015[/C][C]0.322086518913362[/C][/ROW]
[ROW][C]0.08[/C][C]10.9705742829923[/C][C]0.313859791147408[/C][/ROW]
[ROW][C]0.09[/C][C]11.1113353077093[/C][C]0.309495465020791[/C][/ROW]
[ROW][C]0.1[/C][C]11.2431036423429[/C][C]0.309897840286129[/C][/ROW]
[ROW][C]0.11[/C][C]11.3684092167184[/C][C]0.311767555447703[/C][/ROW]
[ROW][C]0.12[/C][C]11.4884611871963[/C][C]0.311144650924004[/C][/ROW]
[ROW][C]0.13[/C][C]11.6034914442845[/C][C]0.307607048093287[/C][/ROW]
[ROW][C]0.14[/C][C]11.7136905434350[/C][C]0.304085404196836[/C][/ROW]
[ROW][C]0.15[/C][C]11.8199305784080[/C][C]0.304359481515427[/C][/ROW]
[ROW][C]0.16[/C][C]11.9237908530199[/C][C]0.310343467050951[/C][/ROW]
[ROW][C]0.17[/C][C]12.0270228262052[/C][C]0.321160026892191[/C][/ROW]
[ROW][C]0.18[/C][C]12.1308953716549[/C][C]0.3338099988814[/C][/ROW]
[ROW][C]0.19[/C][C]12.2357870625581[/C][C]0.344773456675879[/C][/ROW]
[ROW][C]0.2[/C][C]12.3411571459807[/C][C]0.3512649928772[/C][/ROW]
[ROW][C]0.21[/C][C]12.4458250051249[/C][C]0.351961618205914[/C][/ROW]
[ROW][C]0.22[/C][C]12.5483926335464[/C][C]0.347113282777041[/C][/ROW]
[ROW][C]0.23[/C][C]12.6476472370279[/C][C]0.33817800279622[/C][/ROW]
[ROW][C]0.24[/C][C]12.7428414810296[/C][C]0.327307319067274[/C][/ROW]
[ROW][C]0.25[/C][C]12.8338222719264[/C][C]0.316693350393972[/C][/ROW]
[ROW][C]0.26[/C][C]12.9210313724016[/C][C]0.308545766074516[/C][/ROW]
[ROW][C]0.27[/C][C]13.0054207516465[/C][C]0.304599424297958[/C][/ROW]
[ROW][C]0.28[/C][C]13.0883218703366[/C][C]0.306184837039691[/C][/ROW]
[ROW][C]0.29[/C][C]13.1712982994862[/C][C]0.314032337966607[/C][/ROW]
[ROW][C]0.3[/C][C]13.2560049173283[/C][C]0.328308239586822[/C][/ROW]
[ROW][C]0.31[/C][C]13.3440722391997[/C][C]0.348689745843649[/C][/ROW]
[ROW][C]0.32[/C][C]13.4370243770047[/C][C]0.374683401581033[/C][/ROW]
[ROW][C]0.33[/C][C]13.5362222406542[/C][C]0.405711756666485[/C][/ROW]
[ROW][C]0.34[/C][C]13.6428072978498[/C][C]0.44091594787555[/C][/ROW]
[ROW][C]0.35[/C][C]13.7576166939860[/C][C]0.479032310566314[/C][/ROW]
[ROW][C]0.36[/C][C]13.8810541761086[/C][C]0.518021202361472[/C][/ROW]
[ROW][C]0.37[/C][C]14.0129292961538[/C][C]0.555046165573816[/C][/ROW]
[ROW][C]0.38[/C][C]14.1523072108617[/C][C]0.586557312842795[/C][/ROW]
[ROW][C]0.39[/C][C]14.2974282414895[/C][C]0.608859316628474[/C][/ROW]
[ROW][C]0.4[/C][C]14.4457507510129[/C][C]0.618767451600988[/C][/ROW]
[ROW][C]0.41[/C][C]14.5941432259922[/C][C]0.614165131582464[/C][/ROW]
[ROW][C]0.42[/C][C]14.7392114589901[/C][C]0.594664773358224[/C][/ROW]
[ROW][C]0.43[/C][C]14.8777088440214[/C][C]0.561705775181896[/C][/ROW]
[ROW][C]0.44[/C][C]15.0069548587960[/C][C]0.518492297736343[/C][/ROW]
[ROW][C]0.45[/C][C]15.1251851310987[/C][C]0.469421301436558[/C][/ROW]
[ROW][C]0.46[/C][C]15.2317742465792[/C][C]0.419672950111064[/C][/ROW]
[ROW][C]0.47[/C][C]15.3273015905164[/C][C]0.374409600986742[/C][/ROW]
[ROW][C]0.48[/C][C]15.4134608363396[/C][C]0.338321027419909[/C][/ROW]
[ROW][C]0.49[/C][C]15.4928371339942[/C][C]0.315064394935706[/C][/ROW]
[ROW][C]0.5[/C][C]15.5685893213372[/C][C]0.30672844748319[/C][/ROW]
[ROW][C]0.51[/C][C]15.64407927556[/C][C]0.313565424096345[/C][/ROW]
[ROW][C]0.52[/C][C]15.7224914767120[/C][C]0.333649342833573[/C][/ROW]
[ROW][C]0.53[/C][C]15.8064872538481[/C][C]0.363593424870418[/C][/ROW]
[ROW][C]0.54[/C][C]15.8979408814692[/C][C]0.399150151498384[/C][/ROW]
[ROW][C]0.55[/C][C]15.9978048506831[/C][C]0.435883666728696[/C][/ROW]
[ROW][C]0.56[/C][C]16.1061422940362[/C][C]0.470044362729181[/C][/ROW]
[ROW][C]0.57[/C][C]16.2223397827747[/C][C]0.499259339980527[/C][/ROW]
[ROW][C]0.58[/C][C]16.3454736122505[/C][C]0.523029594402619[/C][/ROW]
[ROW][C]0.59[/C][C]16.4747561810462[/C][C]0.543000111182002[/C][/ROW]
[ROW][C]0.6[/C][C]16.6099524824368[/C][C]0.562651790895477[/C][/ROW]
[ROW][C]0.61[/C][C]16.7516477475622[/C][C]0.586171510727375[/C][/ROW]
[ROW][C]0.62[/C][C]16.9012766741603[/C][C]0.617466360944966[/C][/ROW]
[ROW][C]0.63[/C][C]17.0608896522279[/C][C]0.658488616233014[/C][/ROW]
[ROW][C]0.64[/C][C]17.2327140592654[/C][C]0.708635020652269[/C][/ROW]
[ROW][C]0.65[/C][C]17.4186409255222[/C][C]0.764862122381134[/C][/ROW]
[ROW][C]0.66[/C][C]17.6198007262172[/C][C]0.822528619465782[/C][/ROW]
[ROW][C]0.67[/C][C]17.8363697383519[/C][C]0.877139837307695[/C][/ROW]
[ROW][C]0.68[/C][C]18.0676731059094[/C][C]0.925358766698964[/C][/ROW]
[ROW][C]0.69[/C][C]18.3125463570391[/C][C]0.966030964892881[/C][/ROW]
[ROW][C]0.7[/C][C]18.5698209062845[/C][C]1.00047353589522[/C][/ROW]
[ROW][C]0.71[/C][C]18.8387475517732[/C][C]1.03143626795687[/C][/ROW]
[ROW][C]0.72[/C][C]19.1191860495506[/C][C]1.06201753087797[/C][/ROW]
[ROW][C]0.73[/C][C]19.4114653453832[/C][C]1.09391535542777[/C][/ROW]
[ROW][C]0.74[/C][C]19.7159323530736[/C][C]1.12647118394010[/C][/ROW]
[ROW][C]0.75[/C][C]20.0323198361019[/C][C]1.15607649935283[/C][/ROW]
[ROW][C]0.76[/C][C]20.3591416533166[/C][C]1.17722148385799[/C][/ROW]
[ROW][C]0.77[/C][C]20.6933491086663[/C][C]1.18364896824611[/C][/ROW]
[ROW][C]0.78[/C][C]21.0304629482992[/C][C]1.17048132967396[/C][/ROW]
[ROW][C]0.79[/C][C]21.3653607253148[/C][C]1.13648783158158[/C][/ROW]
[ROW][C]0.8[/C][C]21.6938832442575[/C][C]1.08623254790166[/C][/ROW]
[ROW][C]0.81[/C][C]22.0154433071974[/C][C]1.03293786755204[/C][/ROW]
[ROW][C]0.82[/C][C]22.3368527733670[/C][C]1.00240244850519[/C][/ROW]
[ROW][C]0.83[/C][C]22.6775436390841[/C][C]1.03833015889637[/C][/ROW]
[ROW][C]0.84[/C][C]23.0760420335042[/C][C]1.20582732468001[/C][/ROW]
[ROW][C]0.85[/C][C]23.5965894927595[/C][C]1.58283051479979[/C][/ROW]
[ROW][C]0.86[/C][C]24.3328218273001[/C][C]2.23970065976736[/C][/ROW]
[ROW][C]0.87[/C][C]25.4027699026163[/C][C]3.21022970597639[/C][/ROW]
[ROW][C]0.88[/C][C]26.9283575008640[/C][C]4.44840972631921[/C][/ROW]
[ROW][C]0.89[/C][C]28.9970629021719[/C][C]5.78713824616702[/C][/ROW]
[ROW][C]0.9[/C][C]31.6157246787775[/C][C]6.94538211012944[/C][/ROW]
[ROW][C]0.91[/C][C]34.6810182094812[/C][C]7.61862913456346[/C][/ROW]
[ROW][C]0.92[/C][C]37.9942934594446[/C][C]7.62645658785765[/C][/ROW]
[ROW][C]0.93[/C][C]41.3318534721462[/C][C]7.02768990593125[/C][/ROW]
[ROW][C]0.94[/C][C]44.5548412600403[/C][C]6.13212794466524[/C][/ROW]
[ROW][C]0.95[/C][C]47.71568243232[/C][C]5.42248298324266[/C][/ROW]
[ROW][C]0.96[/C][C]51.0807181393199[/C][C]5.31148923581699[/C][/ROW]
[ROW][C]0.97[/C][C]54.9632996268072[/C][C]5.5890801868061[/C][/ROW]
[ROW][C]0.98[/C][C]59.2972033625069[/C][C]5.36157468791198[/C][/ROW]
[ROW][C]0.99[/C][C]63.0573778869742[/C][C]3.33630203093515[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38726&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38726&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.873055879617731.14437796833289
0.028.96440242964380.895961115385282
0.039.699739205440960.652869836822156
0.0410.14955924547750.4568500973125
0.0510.43652750577130.363190376052951
0.0610.64473876585660.333458742508187
0.0710.81716231500150.322086518913362
0.0810.97057428299230.313859791147408
0.0911.11133530770930.309495465020791
0.111.24310364234290.309897840286129
0.1111.36840921671840.311767555447703
0.1211.48846118719630.311144650924004
0.1311.60349144428450.307607048093287
0.1411.71369054343500.304085404196836
0.1511.81993057840800.304359481515427
0.1611.92379085301990.310343467050951
0.1712.02702282620520.321160026892191
0.1812.13089537165490.3338099988814
0.1912.23578706255810.344773456675879
0.212.34115714598070.3512649928772
0.2112.44582500512490.351961618205914
0.2212.54839263354640.347113282777041
0.2312.64764723702790.33817800279622
0.2412.74284148102960.327307319067274
0.2512.83382227192640.316693350393972
0.2612.92103137240160.308545766074516
0.2713.00542075164650.304599424297958
0.2813.08832187033660.306184837039691
0.2913.17129829948620.314032337966607
0.313.25600491732830.328308239586822
0.3113.34407223919970.348689745843649
0.3213.43702437700470.374683401581033
0.3313.53622224065420.405711756666485
0.3413.64280729784980.44091594787555
0.3513.75761669398600.479032310566314
0.3613.88105417610860.518021202361472
0.3714.01292929615380.555046165573816
0.3814.15230721086170.586557312842795
0.3914.29742824148950.608859316628474
0.414.44575075101290.618767451600988
0.4114.59414322599220.614165131582464
0.4214.73921145899010.594664773358224
0.4314.87770884402140.561705775181896
0.4415.00695485879600.518492297736343
0.4515.12518513109870.469421301436558
0.4615.23177424657920.419672950111064
0.4715.32730159051640.374409600986742
0.4815.41346083633960.338321027419909
0.4915.49283713399420.315064394935706
0.515.56858932133720.30672844748319
0.5115.644079275560.313565424096345
0.5215.72249147671200.333649342833573
0.5315.80648725384810.363593424870418
0.5415.89794088146920.399150151498384
0.5515.99780485068310.435883666728696
0.5616.10614229403620.470044362729181
0.5716.22233978277470.499259339980527
0.5816.34547361225050.523029594402619
0.5916.47475618104620.543000111182002
0.616.60995248243680.562651790895477
0.6116.75164774756220.586171510727375
0.6216.90127667416030.617466360944966
0.6317.06088965222790.658488616233014
0.6417.23271405926540.708635020652269
0.6517.41864092552220.764862122381134
0.6617.61980072621720.822528619465782
0.6717.83636973835190.877139837307695
0.6818.06767310590940.925358766698964
0.6918.31254635703910.966030964892881
0.718.56982090628451.00047353589522
0.7118.83874755177321.03143626795687
0.7219.11918604955061.06201753087797
0.7319.41146534538321.09391535542777
0.7419.71593235307361.12647118394010
0.7520.03231983610191.15607649935283
0.7620.35914165331661.17722148385799
0.7720.69334910866631.18364896824611
0.7821.03046294829921.17048132967396
0.7921.36536072531481.13648783158158
0.821.69388324425751.08623254790166
0.8122.01544330719741.03293786755204
0.8222.33685277336701.00240244850519
0.8322.67754363908411.03833015889637
0.8423.07604203350421.20582732468001
0.8523.59658949275951.58283051479979
0.8624.33282182730012.23970065976736
0.8725.40276990261633.21022970597639
0.8826.92835750086404.44840972631921
0.8928.99706290217195.78713824616702
0.931.61572467877756.94538211012944
0.9134.68101820948127.61862913456346
0.9237.99429345944467.62645658785765
0.9341.33185347214627.02768990593125
0.9444.55484126004036.13212794466524
0.9547.715682432325.42248298324266
0.9651.08071813931995.31148923581699
0.9754.96329962680725.5890801868061
0.9859.29720336250695.36157468791198
0.9963.05737788697423.33630203093515


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')